Dr. Theodosis Georgiou received his PhD Degree in December 2016 with the Thesis topic: User Modelling for Adaptive Training in High Performance Driving. He is now a member of the Personal Robotics Lab as a Research Associate after receiving the EPSRC Doctoral Prize Fellowship.
His research lies in the areas of user modelling and user assistance whereas is mainly focused on user adaptive training and prediction in high performance driving. This involves designing and implementing intelligent systems that can interpret user's behaviour through signals from various sensors and alter their particular characteristics in order to fit the individual.
Before being a PostDoc and a PhD candidate in the Personal Robotics Lab, he graduated in 2012 with an MEng degree in a four year course in Electronic and Information Engineering at Imperial College London, with first class honours.
Publications
Journals
Georgiou, T., Demiris, Y. (2017) Adaptive user modelling in car racing games using behavioural and physiological data. User Modeling and User-Adapted Interaction (UMUAI), Pages 1-45.
Conferences
→ Georgiou T, Demiris Y (2016) Personalised Track Design in Car Racing Games, IEEE Computational Intelligence and Games (CIG)
→ Georgiou T, Demiris Y (2015) Predicting car states through learned models of vehicle dynamics and user behaviours, IEEE Intelligent Vehicles Symposium (IV)
Thesis
→ Georgiou T. (2016) User Modelling for Adaptive Training in High Performance Driving
PhD Thesis, Imperial College London
